
Predictive analytics for policy and practice: reflections from the criminal justice system
Author(s) -
Tim Hughes
Publication year - 2015
Publication title -
policy quarterly
Language(s) - English
Resource type - Journals
eISSN - 2324-1101
pISSN - 2324-1098
DOI - 10.26686/pq.v11i2.4537
Subject(s) - investment (military) , context (archaeology) , work (physics) , economic justice , government (linguistics) , criminal justice , analytics , welfare , term (time) , public economics , business , social welfare , economics , criminology , political science , sociology , microeconomics , law , computer science , politics , engineering , market economy , data science , mechanical engineering , paleontology , linguistics , philosophy , physics , quantum mechanics , biology
The current government is seeking to take the logic of an investment approach to welfare and apply it to other areas of expenditure. Like most sectors, the justice sector has a programme of work underway to improve its ability to make good investment decisions; in a justice sector context this primarily means applying resources where they can best reduce the long-term social and economic costs of crime.